Results 271 to 280 of about 14,618,314 (310)

Real-time High-accuracy Three-Dimensional Reconstruction with Consumer RGB-D Cameras

ACM Transactions on Graphics, 2018
We present an integrated approach for reconstructing high-fidelity three-dimensional (3D) models using consumer RGB-D cameras. RGB-D registration and reconstruction algorithms are prone to errors from scanning noise, making it hard to perform 3D ...
Yan-Pei Cao, L. Kobbelt, Shi-Min Hu
semanticscholar   +1 more source

Automatic objects segmentation with RGB-D cameras

Journal of Visual Communication and Image Representation, 2014
Automatic object segmentation is a fundamentally difficult problem due to issues such as shadow, lighting, and semantic gaps. Edges play a critical role in object segmentation; however, it is almost impossible for the computer to know which edges correspond to object boundaries and which are caused by internal texture discontinuities.
Haowei Liu, Matthai Philipose, Ming-Ting Sun   +2 more
openaire   +1 more source

M-DIVO: Multiple ToF RGB-D Cameras-Enhanced Depth–Inertial–Visual Odometry

IEEE Internet of Things Journal
Time-of-Flight (ToF) RGB-D cameras provide a wealth of information for SLAM systems. However, the limited field of view (FOV) of a single ToF RGB-D camera and the small range of its depth measurement module make it prone to degeneracy when relying solely
Jie Xu, Wenlu Yu, Song Huang, Sheng-Hai Yuan, Li-Jun Zhao, Rui-Feng Li, Li-Hua Xie   +6 more
semanticscholar   +1 more source

Real-time RGB-D camera relocalization

2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013
We introduce an efficient camera relocalization approach which can be easily integrated into real-time 3D reconstruction methods, such as KinectFusion. Our approach makes use of compact encoding of whole image frames which enables both online harvesting of keyframes in tracking mode, and fast retrieval of pose proposals when tracking is lost.
Ben Glocker, Shahram Izadi, Jamie Shotton, Antonio Criminisi   +3 more
openaire   +2 more sources

Visual SLAM using multiple RGB-D cameras

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015
In this paper, we present a solution to visual simultaneous localization and mapping (SLAM) using multiple RGB-D cameras. In the SLAM system, we integrate visual and depth measurements from those RGB-D cameras to achieve more robust pose tracking and more detailed environmental mapping in unknown environments.
Shaowu Yang, Xiaodong Yi 0002, Zhiyuan Wang, Yanzhen Wang, Xuejun Yang   +4 more
openaire   +1 more source

An extrinsic calibration method for multiple RGB-D cameras in a limited field of view

Measurement science and technology, 2020
A 3D scanning system involving multiple RGB-D cameras has the potential to accelerate the reconstruction of an object and improve the measurement accuracy because it can capture an object in a comprehensive way.
Chao-Chuan Jia, Ting Yang, Chuan-Jiang Wang, Bing-Hui Fan, Fu-Gui He   +4 more
semanticscholar   +1 more source

3D Reconstruction system for collaborative scanning based on multiple RGB-D cameras

Pattern Recognition Letters, 2019
Current 3D reconstruction systems can easily fall into the problems of insufficient memory and low efficiency when reconstructing complex large scenes, and the reconstructed model drifts a lot at the same time.
Haonan Xu, Jun-Yi Hou, Lei Yu, S. Fei
semanticscholar   +1 more source

3D Reconstruction and Texture Optimization Using a Sparse Set of RGB-D Cameras

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2019
We contribute a new integrated system designed for high-quality 3D reconstructions. The system consists of a sparse set of commodity RGB-D cameras, which allows for fast and accurate scan of objects with multi-view inputs.
Wei Li, Xiao Xiao, J. Hahn
semanticscholar   +1 more source

Robust tracking and mapping with a handheld RGB-D camera

IEEE Winter Conference on Applications of Computer Vision, 2014
In this paper, we propose a robust method for camera tracking and surface mapping using a handheld RGB-D camera which is effective in challenging situations such as fast camera motion or geometrically featureless scenes. The main contributions are threefold.
Kyoung-Rok Lee, Truong Q. Nguyen
openaire   +1 more source

Large-area depth recovery for RGB-D camera

2015 IEEE International Conference on Image Processing (ICIP), 2015
In this paper, a large-area depth recovery method for RGB-D camera is proposed. Considering that pixels along edges between different regions usually share similar depth values, we first select reliable pixels along edges of large-area depth missing regions and project them into the world coordinate system.
Zengqiang Yan, Li Yu 0003, Zixiang Xiong
openaire   +2 more sources